{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# MatPlotLib Basics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Draw a line graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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W7WRYYgw3jmzLcsnGuE9YcCCPT89g+6EK3sqxhdmdZMXvB55fmc+Rihp+ct1g\nAgLE6TjGj103rDejU2L51fLdVNbUOx3Hb7lU/CIyTUR2iUieiDx+juczRGS1iNSIyA/acqzpWAdP\nVPH853u5dlhvMlNtagbjLBHhP68bzNHKGp5dYcM7ndJq8YtIIPAsMB0YDMwUkcFn7VYGPAr8uh3H\nmg705PvbUYXHp9nUDMYzjEjqyk0jE3hx1T7ySyudjuOXXDnjHwvkqWq+qtYCi4AZLXdQ1RJVXQ+c\nPSFHq8eajvPZrhKWbj3MI5f1I6mbfVjLeI7Hr8kgNDiAn/w1F1W70dvZXCn+BKDlnZii5m2uuJBj\nzQWormvgp0tySY+L5IFLbPim8Szx0WE8dvVAvsg7yt+2HHI6jt/xmJu7IjJbRLJFJLu0tNTpOF7v\nuc/2UnjsNE/MuIjQoECn4xjzL24fl8LQhBieeG87FdU2e2dncqX4i4GkFo8Tm7e5wuVjVXW+qmaq\namZcXJyLL2/OZd/RUzy3ci9fG96HSf16OB3HmHMKDBCevOEijlbW8NuPdjsdx6+4Uvzrgf4ikiYi\nIcBtwBIXX/9CjjXtoKr85K/bCA0M4MfXDnI6jjFfaXhSV24fl8yCrAK2FZc7HcdvtFr8qloPPAws\nB3YAb6pqrojMEZE5ACLSS0SKgO8DPxaRIhHpcr5jO+rNGHgrp4hVe47yg6sHEt8lzOk4xrTqsasy\n6B4VymNvbaG23hZn7wziiXfUMzMzNTs72+kYXudIRTVX/mYlGb26sGj2ePuwlvEay3MP8+D/5fD9\nKwfw6OU2c2x7iEiOqma6sq/H3Nw1F0ZV+dHirdTUN/LUzcOs9I1XuXpIL64f3odnPt3DzsMVTsfx\neVb8PuKvmw7y8Y4SHrt6IGk9Ip2OY0yb/exrQ+gSFsxjf9lCfYNd8ulIVvw+oPRkDf/1t1xGJXfl\nnklpTscxpl26RYbw3zMuYmtxOfNX5Tsdx6dZ8Xs5VWXu21s4XdvAL28eTqBd4jFe7NphvZl+US9+\n+9FuG+XTgaz4vdzC1YV8urOE/5ieQb/4KKfjGHPBfn7jUGIjQvjOoo1U1TY4HccnWfF7sZ2HK/j5\n0h1MHRjHXRNTnY5jjFt0iwzht7eOIP/oKZ54f7vTcXySFb+Xqq5r4NE3NtIlLJhf3TIcEbvEY3zH\npH49mH1JOq+v3c+ybYedjuNzrPi91P9buoPdRyr5328Mp0eULZxufM+/XTmQoQkxPP7OFg6VVzkd\nx6dY8XuobuGiAAANkklEQVSh97YcZOHqQu67OI0pA2xeI+ObQoICeHrmSGrrG3n49Y32qV43suL3\nMnuOnOSHb21hVHJX5triKsbHpfWI5Fc3Dyen8DhP2vV+t7Hi9yInq+t48NUcIkIC+ePtowkJsr8+\n4/uuHdabByansXB1Ie9sKHI6jk+w5vASqsoP39pC4bHTPDNzFL1ibAI24z/mTstgfHo3/v2drTa+\n3w2s+L3Ebz/ewwfbDvP4tAwm9O3udBxjOlVQYAB/+OYoYiNCmPNqDscqa5yO5NWs+L3A4o1FPP3J\nHm4Zncj9k21KBuOfekSFMm/WaEpP1vDAwmyq6+zDXe1lxe/h1heUMfetrYxP78bPbxxq4/WNXxuR\n1JXf3jqCDftP8G9/2Uxjo+dNK+8NrPg9WH5pJQ/+Xw4JseHMu8Nu5hoDcM3Q3vz79Aze33KIX324\ny+k4XsmlJhGRaSKyS0TyROTxczwvIvJ08/NbRGRUi+cKRGSriGwSEVtdxUWHyquY9eI6BHjp7jF0\njQhxOpIxHmP2JenMHJvMc5/t5aUv9jkdx+sEtbaDiAQCzwJXAkXAehFZoqotB9VOB/o3/zcOeK75\nzzOmqupRt6X2cWWnapn14jrKq+pYNHu8za9vzFlEhCdmDKHsVA3//d52osOCuCUzyelYXsOVM/6x\nQJ6q5qtqLbAImHHWPjOAhdpkDdBVRHq7OatfOFldxz2vrGd/2WleuCuTixJinI5kjEcKCmz6ZO/k\n/j2Y+/YWPth6yOlIXsOV4k8ADrR4XNS8zdV9FPhYRHJEZHZ7g/qDiuo67nxpHbnF5Tz7zVGMT7dh\nm8Z8ldCgQJ6fNZqRybE8umgjH+bahG6u6Iy7hRer6giaLgc9JCKXnGsnEZktItkikl1aWtoJsTxL\neVUds15cx7bicp69fRRXDu7pdCRjvEJESBAv3T2GwX1i+PZrG3h/i535t8aV4i8GWl48S2ze5tI+\nqnrmzxJgMU2Xjv6Fqs5X1UxVzYyL86+Jx46fqmXWi2vZcbCC524fzdVDejkdyRivEhMezKv3jWVE\nUlceeWMD7248u6JMS64U/3qgv4ikiUgIcBuw5Kx9lgB3No/uGQ+Uq+ohEYkUkWgAEYkErgK2uTG/\n1ztQdpqvz8ti5+GTzJs1iivsTN+YdokOC2bBvWMZl9ad7725iQVZBU5H8litjupR1XoReRhYDgQC\nL6lqrojMaX5+HrAUuAbIA04D9zQf3hNY3PyhoyDgdVVd5vZ34aVyD5Zz98vrqalr4LX7xzEmtZvT\nkYzxapGhTZd9Hl20kZ8uyeXgiSrmTssgwNai/iei6nmffMvMzNTsbN8e8r9iVwmPvL6RLmFBLLh3\nLP17RjsdyRif0dCo/NeSXP5vTSHXD+/Dr24eRlhwoNOxOpSI5Khqpiv7tnrGb9xLVZm3Mp9fLt/J\noF5dePHuTHrHhDsdyxifEhgg/PeMISTEhvOLD3ZSeOwU8+4YTZ+u9rMGNmVDpzpdW8+jizbx1LKd\nXDu0N29/a6KVvjEdRESYM6Uv82eNJr/0FNc/8wVr8o85HcsjWPF3ku0HK7j+mS94b8tBfjhtIM/M\nHEl4iG//09MYT3DVkF68+9AkukYEc/sLa3l2RR4Nfj65mxV/B1NVFmQVcMMfv+RkdT2v3TeOb1/a\nz2bZNKYT9YuP4t2HJjH9ol78avkuZs5fQ9Hx007HcowVfwc6UHaaWS+u46dLcpnUtzsffGcyE/v1\ncDqWMX4pOiyYZ2aO5DffGM72QxVM//0qFm8swhMHuHQ0u7nbARoalYWrC/jlsl0ECDwxYwh3jE+x\ns3xjHCYi3DQqkcyUbnz3zxv53p83886GYp684SJSuvvPZIg2nNPNNu4/zs/+tp1NB05w6cA4fn7j\nUBJsJIExHqehUfm/1QX8+sPd1DU08ujl/XlgcrrXrnvRluGcVvxucvBEFU8t28lfNx0kLjqUH10z\niBkj+thZvjEe7lB5FT9bsp1luYdJ7hbBD6cN5Nqhvb3uZ9eKvxMdrazhT6vyWZBVgCo8MDmdb13a\nl8hQu4pmjDf5bFcJv/hgJzsPn2R4Ygxzp2cwIb271/wCsOLvBCUnq5m/Mp9X1xZSW9/I14b34QdX\nDyQxNsLpaMaYdmpoVN7ZUMT/fribwxXVjE6J5aGpfZk6MN7jfwFY8XegbcXlvJJVwJLNB6lvaOSG\nEQk8dFk/+sZFOR3NGOMm1XUN/Hn9AeZ/nk/xiSoyekVz38VpXD+8j8dO/WDF72anaupZnnuY19fu\nJ7vwOBEhgdw0KoH7Lk63ZRGN8WF1DY38ddNBnl+5lz0llcSEB3Pz6ERuH5dMuoed7Fnxu0FDo5K1\n9yiLNxSzLPcwp2sbSOkewazxKdySmURMeLCj+YwxnUdVWZNfxqtrC1m+7TD1jcrwxBiuH96H64f3\noWeXMKcjWvG316maelbtKeXjHSV8urOEslO1RIcFcd2w3s1jf2M9/jqfMaZjlZys5t2NxSzZfJBt\nxRWIwNjUblwxqCdTM+LpGxfpSE9Y8buotr6RrcUnWJNfxpr8Y6zdV0ZtfSNdwoKYmhHP1UN6cVlG\nvMde0zPGOGtvaSV/23yQpVsPsftIJQBJ3cKZOjCecWndGZMWS3x05/xrwIr/HFSV4hNVbCsuZ1tx\nBZuLTpBdcJyqugYAMnpFM6lfD64Y1JPM1FiCA73zQxzGGGcUHT/Nil2lfLazhKy9x/7eLandIxiT\n2o1RKbEM6dOFAT2jO+Rk0u3FLyLTgN/TtALXC6r6i7Oel+bnr6FpBa67VXWDK8eey4UUv6pypKKG\n/NJK9h49RX5pJXkllWwrLuf46ToAggKE/j2jGZfWjfHp3Rib1p1ukSHt+n7GGHO22vpGcg+Ws76g\njHX7jpNdWMaJ5v4JDBD6xkUypE8MA3tFk94jkvS4SJK6RRAa1P5fCG4tfhEJBHYDVwJFNK3BO1NV\nt7fY5xrgEZqKfxzwe1Ud58qx59Ke4q9vaOSm57LYW1LJqdqGv28PDw6kb3wkQ3rHcFFiDEMTYsjo\n1TG/cY0x5lwaG5UDx0+z/WAFuQcr2H6ogtyD5RypqPn7PgECA3pG88F3JrfrHoG7V+AaC+Span7z\niy8CZgAty3sGsFCbfousEZGuItIbSHXhWLcICgygb1wUo5Jj6RsXSXpcFOlxkfTqEmY3ZI0xjgoI\nEFK6R5LSPZLpQ3v/fXt5VR37jp5i39FK9pWeorq+sVP6ypXiTwAOtHhcRNNZfWv7JLh4rNv89tYR\nHfXSxhjjdjHhwYxI6sqIpK6d+n095g6miMwWkWwRyS4tLXU6jjHG+CxXir8YSGrxOLF5myv7uHIs\nAKo6X1UzVTUzLi7OhVjGGGPaw5XiXw/0F5E0EQkBbgOWnLXPEuBOaTIeKFfVQy4ea4wxphO1eo1f\nVetF5GFgOU1DMl9S1VwRmdP8/DxgKU0jevJoGs55z1cd2yHvxBhjjEv85gNcxhjjy9oynNNjbu4a\nY4zpHFb8xhjjZ6z4jTHGz3jkNX4RKQUK23l4D+CoG+M4yVfei6+8D7D34qnsvUCKqro0Ft4ji/9C\niEi2qzc4PJ2vvBdfeR9g78VT2XtpG7vUY4wxfsaK3xhj/IwvFv98pwO4ka+8F195H2DvxVPZe2kD\nn7vGb4wx5qv54hm/McaYr+CTxS8iT4jIFhHZLCKfikiy05naQ0R+JSI7m9/LYhHp3Em73UhEbhGR\nXBFpFBGvHH0hItNEZJeI5InI407naS8ReUlESkRkm9NZLoSIJInIChHZ3vz/1necztReIhImIuua\nO2uHiLS6RO0FfT9fvNQjIl1UtaL560eB4ap6n8Ox2kxErgI+bZ7s7ikAVZ3rcKx2EZFBQCPwPPAD\nVfWqyZjau4yoJxKRS4BKmlbNu8jpPO3VvMpfb1XdICLRQA5wg5f+nQgQqaqVIhIMfEHTz8mqjvh+\nPnnGf6b0m0UCx5zKciFU9UNVrW9+uIam9Qy8kqruUNVdTue4AH9fglRVa4Ezy4h6HVX9HChzOseF\nUtVDqrqh+euTwA6aVv3zOtqksvlhME2zGR/vqO/nk8UPICI/F5EDNE0R/T9O53GDe4EPnA7hx863\nvKjxACKSCowE1jqbpP1EJFBENgElwGeq2mGX4ry2+EXkYxHZdo7/ZgCo6o9UNQl4Gfits2nPr7X3\n0bzPj4B64DXnkrbOlfdijLuJSBTwNvDds/6171VUtUFVR9D0L/vJIjK1o76XK4uteyRVvcLFXV/D\ng8+UW3sfInI3cB1wuXr4DZk2/J14I5eXETWdp/l6+NvAa6r6jtN53EFVT4jI+0AmsKIjvofXnvF/\nFRHp3+LhDGCTU1kuhIhMA34IfE1VTzudx8/ZMqIepvmG6IvADlX9jdN5LoSIxJ0ZtSci4TQNIuiw\n3vLVUT1vAwOBBiAf+JaqHnY2VduJSB4Qyj9uTq9R1TkORmo3EbkReAaIA04Am1T1amdTtY2IXAP8\njn8sI/pzhyO1i4i8AVxK0yyQR4CfquqLjoZqBxG5GFgFbKVpxBjAf6jqUudStY+IDAMW0HQyHgC8\nqqpPddj388XiN8YYc34+eanHGGPM+VnxG2OMn7HiN8YYP2PFb4wxfsaK3xhj/IwVvzHG+BkrfmOM\n8TNW/MYY42f+P71wO+RZTsHvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fda0fb748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from scipy.stats import norm\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.arange(-3, 3, 0.01)\n",
    "\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Mutiple Plots on One Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Zlf/NIll/nkJb717Rzn4alaecLKviriWbCA91sHjOGDpHtoMhj43VD+Xzo/72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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fda0f3fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Save it to a File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Zlf/NIll/nkJb717Rzn4alaecLKviriWbCA91sHjOGDpHtoMhj43VD+Xzo/72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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fdcc0c668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.savefig('C:\\\\Users\\\\Frank\\\\MyPlot.png', format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Adjust the Axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Im5nc5Fi4G+Om4lXeLjtQXXKms2nI/m1eV2LCzMLdGLccPgi71kfGxdQA25WpybJwN8Yt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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddc3e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Add a Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kDlLxh8r63WOOFXfjqcc/Ws+WgiIeunoAjRN9fNYOXxfAjqdF7ZD3XtaPlOQE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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddcaf8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Change Line Types and Colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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s07mzhzszUZHMmXsrYKWqrlLVPcA44IL4Bqo6W1V/jG3OAap7G9OkkyVLXBdv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddd27080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.plot(x, norm.pdf(x), 'b-')\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5), 'r:')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Labeling Axes and Adding a Legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LPTZZVSeHvr5XVVupaoqqnqCqn3iZx5QNWVluCYsaNeDhh/1OE+aPP9yEg3bt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\nY3L9P+2DHbE+VNLOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddd9dda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.xlabel('Greebles')\n",
    "plt.ylabel('Probability')\n",
    "plt.plot(x, norm.pdf(x), 'b-')\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5), 'r:')\n",
    "plt.legend(['Sneetches', 'Gacks'], loc=4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## XKCD Style :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x28fdde72828>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Qm4QLLi3ZhRpEzd2PHJUOP/RugK4NfCu6SwwrlEnAL1iwAO+//z6WLl2Kvn37\nguM43L17F02bNsXUqVOLtaIICgpCWFgYVq1a9cw6zmAwKpa1x+9gUsI5uDvIsGd8K7jYW6oHGRVL\nmY7A33nnHQwaNAj9+/eHp6cnatWqhcDAQEilUvTu3bvYcg4ODkwHz2C8YLzxWlU0reaGbKWW5XF9\nTinTCt7ExYsXsXHjRuj1egQHB6N79+4lbofDw8Ph5ORU7EEsg8H4b3LtfiHaf38QWgOP+GFhCA+q\nODNOhiVlNmLNyclBcHAwpk6dis8++wy7d+/GihUrSizj5OTE7OAZjBeQIE9HjGprNJX8eNN5lhzk\nOaNMAn7NmjVCMgVTjtX27dvj3Xffxb1794ot96iZH4PBeLEY3qo6qnk44Np9JeISb1Z0dxiPIP78\n888/L+3DgwYNQs+ePZGVlYWLFy+iS5cuCAkJwbJly+Dj41NscoIdO3bgwoULgov5y8T58+dx+PBh\n/P3337h+/Tru378PIoKTk1OpMg6dP38ex48fR2JiIuzt7S08Gc+ePYu1a9fi8OHD0Gg0qFq1qlm9\np0+fhoODg1XPyMOHD8PR0REKhQKrVq1CcnJysZ7LW7ZswYwZMxAQEIDKlSuXcRb+4eTJkzh9+jQO\nHDgAT09PVKpUyez+sWPHsG7dOhw9ehQ8z6NKlSrFzlNycjLWrFmDgwcPIj8/H35+foIzEWD0Lfjq\nq6/QsmVLoQ6NRoPly5ejXr16Vi2IduzYgeHDh2P27NlISEgAz/OoX79+ie/KYDDgwYMHJQYhKygo\nwP79+3H9+nXBU/hR1Go11q1bhz///BPJycnw8vIyi1S5ZcsWxMXFoW3btlataRYvXgyO4/7Vu3la\nJCIRAtzssfnMPZy6nYvuDavCUV4mFxtGeVEWm0p3d3dau3Yt7d+/nyQSiRCXu1WrVvTll18WW278\n+PFkb29fdiPOF4CAgACrds89evQosVxmZib16dPHrMzkyZOF++np6dSvXz8CQDKZTLBx9/HxocOH\nDwvP1ahRQ7AJfxxfX1/65ptviIioffv29Oabbxbbn+7duwv9iI6Opl27dpXJ/vnOnTvUpUsXs/F8\n/fXXwv1bt25RbGyskOxCJBIRAAoICBBs3k3k5eXRyJEjSSwWk0QiIalUSgDIxcWFtm7dKjxnimef\nkZFBREZ/gAEDBpC9vX2xCWref/99qly5Mo0fP566dOlCHMdRv379ShzbkCFDqGHDhsXe37BhA1Wp\nUsVs7PnUYHUuAAAgAElEQVT5+cL9tWvXkr+/PwEge3t74ZkBAwYIQeBMvws///yz1TYaN25MgwYN\nKrGf5c3Q5ccpYPI2Gr36VIX2g/EPZVLR1KlTB3v27EHLli3RrFkzfPvtt9BoNLh48aKQOs0ajo6O\nUKlUxQZpepEx2auPHTsWgYGBSEpKwrp160p07TfFTdm9ezd+++033LhxA3Xr1hVsrYuKitC+fXvs\n2LEDS5YsgUqlgkajwcmTJ+Ht7Y2BAwcK7vQZGRnFWjCZygHGVeijq9/HEYvFaNOmDRYuXIhbt24h\nOjoa7du3txr6+HHu37+PVq1a4dSpU9i6dSuuXr0KPz8/YTy5ubmIiorCsWPHsHbtWhQVFUGj0eDw\n4cOQSqUYOnSoUJfBYECPHj2wYsUKfPPNN1AqlVCr1bh48SJCQ0PRv39/wRvUFBLAtLKeNm0aVqxY\ngZ9++qnYmC4qlQrBwcH45ptvsHnzZqxduxarVq0SvH0fZ/369Vi8eDFOnz5tdZ5XrlyJ7t27IyIi\nAleuXBHCJWi1WgDAunXr0KtXL7z66qu4fv06lEol8vLyMGfOHKxYsUI433JzMwb2mjBhApKTky3a\nCQ8Px65du57wJsqXTzuFwE4iwpaz95DE4sY/H5Tla3DgwAGSyWTUrVs3GjNmDCkUCnrzzTfJ09PT\nbEXyOLNmzSIApFQq/+0H6T/Lu+++S6+99lqpnh00aBA5OzvTpUuXhGvp6enCHH/22Wckk8no1CnL\nlZIp9dyxY8eIiEihUNC3335rtR17e3uaNWsWERFFRkbSwIEDi+1Tnz59KCoqioiI9Ho9LVu2jNzc\n3CgoKIjS0tKKLcfzPHXq1Im8vLyEHR+RMUOTSqUiIqJRo0aRk5MTpaSkWJTfsGEDAaBr164REdEv\nv/xCAGjHjh0Wz6akpAjZkIhI8DA1GAy0ePFiAkATJ04stq9ERP379zfzGi4qKiIAtHz5cotns7Ky\nyMPDg5o2bUoAKDEx0ez+5cuXSaFQ0Ntvvy3sdniepxs3bhCRMeuTm5sb9ejRw+puKDo6mmJiYoiI\n6OOPPyYvLy9q06YNNW7c2CK705w5cwgAabXaEsdX3ny36woFTN5G7b7bT3oD83CtaMq0gm/RogVO\nnjwJJycnbN++HVKpFHl5efjzzz+LzUYEsHg0gHFVXlwQqke5cOECli9fjh9++AG1a/+Tyd4UWpbn\neSxevBjvvPMOXn31VYvy9evXBwBcuXIFAIrVHet0OqhUKmF1azAYSvRqlUqlwopYLBZj0KBBOHbs\nGO7fv4/Ro0cXW+7QoUPYtm0bFi1aZBbx0dfXFwqFAhqNBnFxcRg3bpzV6JiPj2fRokWIjY1FTEyM\nxbNBQUGwt7cXntVoNLC3t0dCQgKGDRuGwYMHWw2I9ygFBQVmv8vLli2DSCQySx5i4qOPPoLBYMDG\njRuhUChw4sQJs/tffPEFfH198b///U/Qm3McJ+x2N23ahNzcXPzwww9W9er169cXxiKVSiGXyxEf\nH4+7d+9i8uTJZs+avIlNwcoqihGtguDrosDl9AKsOX67QvvCeAozyVdeeQVxcXFITk5GXl4e/vjj\njydmfjdth00hb19GNBqN1Xjsj7NgwQL4+fmhf//+Vu8fP34cqamp6NWrV4n1mNoSi8VWox+azFZN\nAc6KiopKdM0Xi8UWURCDgoIwe/ZsbNiwAdeuXbNabv78+ahXrx46depk9f6ePXuQn59fqvHcuXMH\nx48fx5tvvlnis6aAa1qtFmq1Gn369EHv3r2xcOHCJ7r75+bm4vz58/joo4/w+uuvY+TIkRg9erTF\nx+fkyZNYtGgRvv76a/j4+KB+/fpm8eUzMzOxfv16jBs3rth5TUhIQPPmzeHrW7ybv+k9SqVSSKVS\neHt7Y926dZg3bx5Wr14tPGf6UFe0GlQuFWNKhzoAgLk7k5Gv1lVof152yizgb926hb/++gubN2/G\nkiVLMH36dPTv3x/x8fHFljEJeGuJLl4WrAlZa6xbtw6DBw8uVh9++fJlAECTJk2s3j969CgACNEd\nHR0dkZuba/Hc33//DQBCSjmVSlXiDoPneasr/EGDBoHneRw6dMjinsFgQEJCAoYOHVqsYL18+TIc\nHBxQp06dYsfDcRzq1av3xLGfP38eKpVKWPVrNBrwPA+e5/Huu++WKu5Obm4u7t69i6VLl2LPnj0A\ngGvXruHOnTvCM0qlEmPHjoVYLEZ8fDzc3NyQlJRkJuC3bNkCjuMwYMCAYtu6fPlysWMxjd30HkUi\nkTCHERER+OabbzB48GAcPHgQgPkHvaLpUM8HrwW4Ilupxfx91j/8DNtQJgE/a9YsBAYGom3btujW\nrRuGDRuG+fPnIy0tzSLc66OYVDTWwuS+LDg5OQkHmsXB8zwyMjJKTF5hEvzFqbvWr1+PGjVqoFat\nWgCAGjVqWF1db9myBVKpFDVr1hTqK8nMr6ioyKq3sumw0FrZ3NxcaLXaJ45Hr9cXOzfr169HkyZN\n4O3tLQixksbu7Ows5KU1JfMIDw9H+/btrX6EHqewsBDjxo1Deno68vPzsW7dOqSkpCAqKkr4SH/3\n3Xc4dOgQnJychExWH3zwAVJSUoRD5/T0dLi5uQm/+8WNvbixpKamIjExUYi/b8qoZmL06NHo3bs3\nunbtirNnzwq7ltKY3pY3HMfh405Gc9slh27gXi7Lx1xRlOm34bfffkP37t2hVquh1+uh1+tx9+5d\n7NmzB+3bty+2nEmn+TJ7sz6qwy4OkUiEkJAQ/PXXX2bXjxw5gpiYGNy7dw8xMTGws7PDvHnzLMon\nJiZi2bJlGD58uLDaa968OdavXy8kDAGMu4ktW7agS5cugtAsKCiwsEl/FJVKZdWWPj4+HiKRCM2a\nNbO45+LigsqVK1uMZ9euXYiJiUFeXh46deoErVaLJUuWWJT/448/sGnTJgwfPhyAMYuVp6en1bFf\nuXIF3333Hd5++20zFY1EIsEff/yBunXrIiYmBn/88UexYwQgJJkHjElHevTogc6dO+POnTuC1c+B\nAwcQGhqK7Oxs7Ny5EzNnzhTOIUzWNnXr1kV6ejouXrwo1K1WqzFp0iR8+eWXAICuXbsiPj4e2dnm\nFic8z2PUqFFwd3cXEnxoNBqhfcAoRBctWoRmzZohMjJS2N08Dyt4AGjg54KO9StDo+fx/W5Lqx+G\njSjLiWz37t2pUaNGZgmaS0NqaioBEGJiv0xcvXqV1q9fT02bNiU/Pz8aP348jR07VrByeZyFCxcS\nABo0aBAtWLCA+vXrRxzHUZMmTSgvL4+IiCZPnkwcx9GIESPo0KFDdOXKFZo5cyYpFApq3ry5mYVF\nWloaOTk5UUREBCUmJlJaWhoNGzaMOI6jCxcuEJHRskMmk1FcXBzpdDq6du0aLVmyhPr37y/EKY+K\niqKoqCjBSsNgMNDGjRvJ0dGR3nnnnWLH/9VXXxEAGjFiBM2fP1+wp4+MjBRiyw8dOpQkEgmNGzeO\nEhMT6fLlyzR16lSSSqXUsWNHMhgMQn0//vgjAaA+ffrQvn37KDk5mf73v/+Ri4sLhYSECHNERDR3\n7lzB/yI3N5datWpFYrGYPvvsMyooKLDaX39/fxo+fDht3bqVZs+eTeHh4Wax9s+fP08AaOnSpWbl\neJ6nqlWrCrboGo2GgoODqWrVqjR37lyaOXMm1ahRgyQSiVD27t275OHhQdWrV6e4uDi6ePEi7d+/\nn5o3b04cx5nlDZgwYQJVqVLFor8qlYpatmxJHMc9F1Y0j3L9fiFV/+h3qvbhNkpOL97KjlF+lEnA\nX758mdzd3alLly509+7dUpfTaDQEgKZNm1bmDv7XMSVvkMvl5OfnR0FBQVSrVi1asWKF1ed5nqd5\n8+aRr68vAaB69erRwoULzYS2wWCgGTNmkJeXl+AUI5PJaPLkyWYCzsSRI0eobdu2wrP+/v5miT54\nnie5XE6Ojo6CoMBDJyOTeeB7770nOBPVrFmTKlWqRAAoNja2RPNXg8FAX331FXl6ehIAatSoEa1Y\nsYL0er3wjFarpSlTppCrq6vQtr29PX3xxReCKeWjfZ0/fz75+fkJz4pEIhoxYgRlZmaaPfvtt9+S\ng4OD8H+1Wi2YmH766adW+9uwYUOhXicnJ+rUqRPt3LlTuL9y5UoKCgqyMFMkMn5QHnV4unHjBsXG\nxpJIJCKFQkGDBw+m8+fPm5W5fPkyRUVFmc17/fr1ac+ePWbPjRw5kho3bmy1z3l5eRQWFkbVqlWz\ner8imbLhHAVM3kYjV56o6K68lJQYTXLWrFlYunQp1Go17O3tYWdnh/v37yMtLQ0KhUJIEVe1alX8\n8MMPxSYSBoxqmqFDh+K777576t3Gf5GCggKo1Wp4eHiUKWEDEUGv15doeaPX63HixAkolUqEhIQ8\n0U39wYMHKCgoQJUqVSzq3b59O44dOwYXFxdUr14dDRo0gJ+fn1mfL1y4gN9//x05OTnw8fFBixYt\nnmhBVZbxaLVaHD9+HBqNBvXq1SsxkQjP8zh16hRycnJQs2ZNBAQEWDxz/fp1rFq1Cp988onZ9ezs\nbCgUCqvnBtnZ2UhPT4erqyu8vLysHnbzPG9V183zPDQajYXVjF6vh1gsLvH93717FxcvXkSlSpXQ\nqFEjC1XLtWvX8ODBAzRu3Nhqeb1eD5VKZRbe4HkgPU+NlnP+glbP448xLVCn8vPVvxedEgV8QkIC\nzp07h0qVKqGoqAhkXPELP6ackllZWfjoo4+EfKHWqFy5Mjp16oSFCxeWy0AYDMbzyRdbL2Dp4Zto\n/4oP5vdv9OQCjGfGU8WDfxoCAgLQunVrLF++3BbNMRiM54SMfDVafG1cxW9/vwVCqrBVvK2wmU2V\nXC4XYoQwGIyXB29nOfo1NZrKzvvragX35uWCCXgGg1HuDG8ZBJlYhO1/p+FK+strLm1rbCbgZTKZ\n4BTDYDBeLnwqydG7iR+IgB/2MLt4W2EzAW/yWHzZyMjIsAhCBRitSvLz8y2uZ2Zm4tSpUwCMcWc2\nbtxotV69Xo9FixaB53kYDAaMGzcO48aNQ6tWrVC9enUEBQUhIiICU6dOhV6vx9WrVxEXF1dsP0+f\nPo0bN24AMDo1jR49GqNHj0azZs1QrVo1BAcHo2XLlkKwrqysLFy4cMFqXQcPHsTt27eRmpqKUaNG\nYejQoWjcuDECAgJQq1YtxMTECGFwk5OTsXDhQmzYsAGXL18uVUiHvLw83Lx5Ezdu3EBGRoaZA5A1\njh49auFMBBg9Yq05nx0/ftzq8yYe76NOp8NPP/1UbCiOvLw87N6926w/586dQ0ZGhmCVlpaWhvz8\nfCGWTFpaGt577z0MGzYMTZo0EeYuOjoaS5cuBWD0Lv7qq6/MnKmeZ95tXQMysQh//J2Oq5lsFW8T\nSrKh1Gg0lJGRQdnZ2ZSfn08qlYo0Gk2ZEj2YaNasGbVp06bM5f7rfPvttySXyyknJ8fs+ocffkiB\ngYEWc9m1a1dq2rQpERGNGTOGWrVqZbXePXv2EMdxpFQqqaCggACQl5cXxcbG0vjx42ncuHHUrVs3\natCgAeXl5dHYsWMJQLH29zExMULCj+TkZAJAVatWpV69etHEiRNp7Nix1LFjRwoLCyODwUBffvkl\nVa1a1aKeGzdukJ2dHc2ZM4c2b95MAKhWrVo0YMAAmjRpEo0aNYratm1Lffr0ISKizp07myXCaNas\nmYWt+KOkpqYKyUBMPxzHUZUqVSg+Pt5qmdq1a1uEQi4oKCB/f3+aMWOGRf1SqZQWLVpkta6FCxdS\n27Ztza4dO3aMAFCHDh2s/m0sW7aMZDIZKZVKys/PF5KzWPsxjcUUJjk4OJj69+9PkyZNotGjR1NU\nVBT17NmTiP4JpQyAunXrRkeOHCl23p4XTHbxY+JZUhBbUKKA79ixY7G/iDKZjJydncnT05MCAwNp\ny5YtJTbUsmXLYoXVi8zFixcJAMXFxQnXMjMzSSaTEQC6fv26cL2wsJCkUinNnDmTiIyZgjp27Gi1\n3iVLlpCTk5Pwf3t7e5o3b16x/fj0008JADk7O5vFZTcxZcoU8vDwIIPBQLm5uQSANmzYUGx9Gzdu\nJAB08+ZNs+vjxo0jNzc3ys/Pp6NHjxIAs7j2jxMbG0vt27en27dv0+rVq6lu3bpUqVIlIf774/A8\nT9u3b6etW7dSaGgotWjRgubOnUsTJkygpKQkq2U++OADcnJyEjxniYwfXjz0qH2Un3/+mcRisdUY\n9+fPnxfe26P5Dy5duiT8XVjLnmXyfjXFsL937x7t2rWLNmzYQK+//joFBgbS5s2bKT4+nubPn09L\nliyhU6dOEQCLbFaPsn79egJAM2bMEDJCRUZGUmpqarFlKpo7D5RUY4rRu/X6/cKK7s4LT4mJE+fN\nm4cPPvgAer1eCHZkMBhgMBigVquhVCqhUqmg1+tRt27df7uZeCGpU6cOQkJCsGXLFiGy4IYNG4Tz\niKtXr6JatWoAgP3790On0+GNN94AYIwhX5zjisFgMFN58TxfoiONm5sbOI5DzZo18dZbb2HXrl1m\nzjQ1atRAVlYWMjIyhKBiJQWuat26NcRiMXbu3Ilhw4YJfYqPj8eAAQOE2PUASuyXi4sLUlJS4Ofn\nhz59+iA2Nhbt27dHjx49cPz4cQtHI47jhLhHn3/+OUJDQ/HBBx8UWz8A9OzZE9999x32798vxJFf\nvXo1OI7D1avmVh07d+5EixYt4OPjY3Zdr9fjrbfegpeXF1JTU3H+/HkhRrwpWmrTpk0xbtw4tGnT\nRgjiBhjDKgPGaJcxMTGoXLmy4JSWlJSElJQUdOnSxay9kydPPnHuTHMzYsQITJw4EXFxcfj444/R\nqFEj/Pnnn2jQoEGJ81IRVHW1R/dXq+K3E3cwf99VfN0ztKK79EJTog4+ICAAkZGRaNeuHTp16oRu\n3bqhR48e6NWrFwYOHIiRI0di/PjxmDx5colOTsCTBdCLTPfu3bFnzx5B4G3cuBH16tWDv78/UlJS\nhOdWrlyJsLAwIfa4KRqiNR71mNTr9VCr1UJQNyJCQUEBrl69KkQrtLOzg1Qqxfr163H27Fkh4JUJ\nk9doUVGREPXz0fpyc3ORkpIiRH10cXFBeHi4WfCuffv2IS0tDX379gXwT3A500eKiJCVlYWUlBRh\nLtRqtVmUSrlcjo8++ghnzpwRzgSKIy8vr1RJVMLCwuDj4yPowW/fvo2TJ0+iU6dOuH37tmDdlZ2d\nje3bt1sN8fvzzz/j9OnTSEhIgIODg9m5iukdTZw4EdHR0XjjjTdQVPRPBEWFQgFHR0ezayY8PDys\nhnO2NnfZ2dlISUkRzg1MXsEmD+EhQ4bgzJkz8PT0RNeuXZ8YvbSiGNE6CCIO2HDqLu48qNgEJS86\nJQr427dvY9++fTh48CCOHj2KkydP4syZM7hw4QKuXbuGu3fvIisrq1RZZJ6UMehFpmPHjsjJycH5\n8+eRk5ODPXv2oHPnzqhVq5YQBTA3NxcbN27EyJEjhXJSqRR6vR5KpRJHjx7FggULMGbMGHTp0gVz\n584VVo4ZGRkAjDlHg4KC4OjoCGdnZwQHB2PKlCkAjKs9qVSKgIAArF69GtOnTzcTziZhrtVqhfpG\njRqFatWqwd7eHq6urqhZsya+//57oUz79u2xd+9eYScRFxeHWrVqCe70pno6dOgAPz8/2NnZwdPT\nEzVr1sTWrVuFZx5dLRcVFWHJkiVQKBSoUqVKifNaVFRkNcLl44hEInTo0AH79u0DYNxBAcD48eNB\nRMJHds2aNbC3t0fv3r3NymdmZuKTTz7B6NGj0aRJE7z22mtmsd9NK2mpVIply5ZBqVTi3XffNTuM\ndXJysmpF5u7ujpycHItEHaa569q1K/z9/WFnZwcPDw/UrFlT6L/p7+nRst7e3li6dClSU1NLzNFQ\nkVTzcEC3V32h5wk/7kl5cgHGU1OiimbkyJHYvn17qSpavnw5Bg4cWOz9l1nAN27cGK6urjh69CjO\nnj0LvV6Pvn37QqPRCIJi7dq1sLe3N8tsJJPJsH79eqxevRpEBFdXV4SEhCAwMBAODg5CrHHTaq9G\njRoICQmBj48PvLy84O3tLSSUkEgkgsqlXbt2+PTTT/Hmm2/i4MGDCA0NNUsYYbLuqVu3LqpVq2ZW\n36Op615//XVMnToVx44dQ/369ZGQkICpU6cKO7WCggKIRCI0bNgQ3t7eQj2VK1cW6jFZkgwbNgwZ\nGRk4cOAAtFotVq5c+cTVeXExYazRrl07xMXFoaioCAkJCYiIiEDLli3h7OyM06dPo169eli2bBkG\nDRpkEaPm008/RWFhIXieR0xMDE6ePInU1FThvknAi0QiuLi4ICEhAWFhYahZs6aQXF0qlVr9/Xd3\ndwfP8xbhmk3vtGHDhvDx8YG3t7cwd6bQzKYPyOM749deew1RUVHYuHEj3nrrrVLNj615v20wNp+5\nhw2n72J022D4uxefi4Dx9JQo4Dds2IAHDx6USgffvHnzEhsqyx/ji4ZYLEZYWBgSExNx+/ZthIWF\noW7duggNDcX8+fOh1+uxePFiDB482ExdodVqERwcjGnTpqFhw4bw9/cX/pjfe+89s9yjADBz5sxi\n9a6md2fi448/xvHjx9GxY0ccOnTILGGEqb7//e9/Qko/azRo0ACenp74/fffcfXqVahUKrNUg2q1\nGpUqVcLixYuLrUOpVOLmzZs4f/48AKNwSkhIKDFJiAkHB4dSqyGaNWsGvV6PtWvX4tChQ1i8eDE4\njkNoaCiOHz+O0NBQnDhxQjDfNLFkyRL88ssvAIAVK1agUaNGiIqKwqZNm5CVlQUPDw9hB2NaSYeG\nhuLXX3/FoEGDULVqVQwYMAAymcyqgDd9xB4X8Gq1Gg4ODlbj5Jswjd3aLsbR0fG5VdEAQKCHA7o1\n8EXCqVQsPnQdX3R9paK79EJSooC3s7N7YoRCwGgT/aRfJp1OV6qcpC8q4eHh+PHHH5GVlSXE4wkN\nDYVKpcLKlStx7NgxrFy50qxMTk4OGjZsiNjYWIv6HvUMfjQZdnFoNBqzQ1mRSIQ1a9YgJiYGbdq0\nwY8//ihcL019pmfbt2+PzZs3w9vbG23btoWfn59wvzS7NplMhgkTJiAyMhKfffYZjh07hhEjRmDh\nwoUl5ioFjHPwJBt4E76+vvDz88OkSZPg4uIiqGFCQ0Nx9OhREBHatGljlugcAE6cOAEPDw8cPnwY\nwcHB4DgOt2/fxqZNm5CUlISOHTsKqpdH+zJgwACkpaXhrbfeglgshkwms7rAMZ2jPO7lXZq5M6lG\nH8+0pVQqsW/fPowaNao0U1NhDGtZDQmnUvHbiTsYHRkMD8cnq9sYZaNMS+ojR46gU6dOGDNmDKZM\nmYLJkyeja9euQub4kmACPhxZWVlwcHAQrGRq164NqVSKiRMnok2bNhbhlh88eFDsCrpSpUrIy8sD\nYLSQASD83xqPC3jAuHrctm0bnJ2d0a9fPwBGdYNJt19SfSZ69eqFCxcuYO/evRg0aJDZPXd3dxQU\nFJSYycrBwQFarRavv/46EhMTsWjRIhw7dgzh4eHCDuVxCgsLkZycjNzcXFy9ehWrV69GfHz8E8+C\nwsPDkZmZid69ewtqmPr16+PMmTNYsWKFYA1kIjs7G8uWLcM777yDmjVrCrsnPz8/+Pr6Ck5opsXN\n4+OcNGkSJk6ciAEDBuDmzZtWBbbp7ONxJyl3d3colcoSP2CmQ9tHLY20Wi2GDx8OrVaLoUOHljgf\nFU1tH2dE1vaCWscjLvFWRXfnhaTEFfzjTJ06FVlZWcjOzoZYLBZM7wBgwoQJJZZ9UizwF52wsDCI\nRCI0btxYWLXJZDJERERg//79ZoerJvLz8+Hh4WG1PmdnZ0GgBQQEwNfXFyNGjED9+vVhMBig0+mQ\nl5eH999/H127dkVBQQFcXV0t6nF1dcWOHTvQokULIW69p6cn5HI5evfujeDgYBgMBmi1WuTl5WHa\ntGlm6rjo6Gi4urpCIpGgZ8+eZnU3a9YMGo0GMTEx8PHxgU6ng1arRUFBARYvXiycJZhUGyKRCEOG\nDEFkZCTat2+PadOmYdWqVWZ18jwPX19f4ZwgNTUVmzZtAmD0oC1JVdi8eXOsXbtWyNkKAK1atYJe\nr4dcLkf37t3Nnjcl3X7//ffNrnMch7ffflvwDDb1xVpe4lmzZiEnJwe//vqr1R2JSCSCWCyGl5eX\n2fWIiAgYDAZER0fD19dXmLv8/Hz8+uuvqFGjhvCRql27Nho3biwcxufl5WHNmjVmu6nnleGtgrDn\nciaWHrqBwRGBcHWwbjXGeDrKJOAvXLiAefPmCStQwHjQ06hRIyQkJGDIkCHFli0uafPLgqOjIzZu\n3GghsCdOnIjq1asLuTcf5Z133hHsth9nwIABwgEqx3HYtm0bfvnlF9y5cweFhYWQSqVwc3MTBEen\nTp2KVXn4+Pjg2LFjuHz5svDx2b17N5YuXYp79+5BpVJBKpXCy8tL2C2YkMlkmD9/PuRyuUWii1q1\namHjxo1Yv349MjMzodPpIJPJ4OfnJ+ieFy5caGHrHxgYiBMnTlhYlgBGgbh161bodDr4+/vD1dUV\nMpkMMpnsib9fgwcPFtRKJmrWrIlRo0YhPDzcQpfdrVs3nD9/3uouaurUqcKBuL+/PyZNmoTWrVtb\nPMdxHBYsWIDevXsjPDzc4n7dunWRlZVl8XGoXr06tmzZgrVr1yIzM1MwmfXz8xMO1998800EBARg\n5cqVuHLlClxdXTF8+HC8/fbbgm/F806Tam5oEeyBgylZWHToOia2q/3kQoxSU6Z48JGRkfD19bWI\nadKzZ08EBgbim2++Kbasp6cnevbsifnz5z99bxkMxgvHyVsP0GN+IlzspTjyYVvYy8q07mSUQJl0\n8BMnTsSKFSvw3nvvITk5GdnZ2di0aRN27NghrCaLoySnHQaD8fLS0N8Vr/q7IFelw/IjTBf/LCmT\ngIDsmSoAABsXSURBVH/99dexePFirFu3DrVq1YKHhwdiY2MRExNjVcVggoigVCqFrSWDwWCY4DgO\nH0QZQzssPHgdhZqXL+pseVFmw/S3334bd+7cwd69e7Fz505cv34dCQkJJa7Oi4qKYDAYBIsBBoPB\neJQWwR5oFOCKB0otlh0uOUQFo/SUScCPHj0aQUFB6Nq1K1q3bo3o6OhSHeaYrAyet4zvDAbj+YDj\nOIyLNq7ilxy+CSVbxT8TSi3giQgLFy5Eq1atMHLkyDIFDjMFU7JmRsZgMBgAEBHkjlf9XfBAqcXK\no0wX/ywotYDnOA5t27aFk5MTunbtWqZGTA4zj7piMxgMxqNwHIf3I43OfosP3YBaV7yDHKN0lElF\nM2XKFCxatMgsCmFpMKlomIBnMBgl0bqmJ0IqOyOzQIO1J+5UdHf+85RJwK9atQp6vR4dOnRA7dq1\nUbduXYSEhCAkJESIZWINU0zy0sTuZjAYLy8cx2FUW2M+hHl/XUWRlq3i/w1l8ijo2bMnQkJCrCbP\nftT9+3FMCYytucozGAzGo7xe1wd1qzjjwr18LDl8A++1qVHRXfrPUiYBHxkZicjISLNrJ06cQFBQ\nUInCOzMzEwBKDD3LYDAYACAScfiofR30X5yEBfuuoV9Tf7jYMyfJp6FMKprs7GxMnjwZS5cuFa7N\nnDkTUVFRJUYMzM3NhZ2dnUWsEgaDwbBG82APtAj2QIFGj/n7rlV0d/6zlEnAjxkzBps2bcKIESOw\ndu1aAMDixYtx8eJF7N+/v9hyJSWPZjAYDGtMbFcLALD0yE3czbXMZ8t4MmUS8Pv27cPkyZMxefJk\nfPrppzAYDHB1dcWrr76KY8eOFVsuKyvLIgohg8FglET9qi7oVL8ytHoe3+9Kruju/Ccpk4DneR4c\nx2H8+PFIT083S3hQkvrlwYMHQhIJBoPBKC0TYmpBIuKw/lQqLqXlV3R3/nOUScC/9dZb+OKLL3Dz\n5k2MGjUKM2fORFJSEk6fPm2WjPlxlEolM5FkMBhlJtDDAf3DAkAEzPj9EsoQ3ZyBMgr4qVOnonnz\n5mjYsCHi4+Nx+vRptGrVCm+//TYaN25cbLnCwkIWSZLBYDwVYyKD4SyX4NDVLOy+lFnR3flPUaaE\nHyZSUlJw/PhxZGRkICIiAk2bNi3x+cqVK6Njx45YtGjRU3eUwWC8vCw9fANfbL0Ifzd77PygJeTS\nkhOSM4yUyQ5+yJAhCAwMxODBg9G3b99Sl8vNzWWHrAwG46npHxaA1Um3kZJZiMWHmPNTaSmTiqZq\n1ar4/vvvERgYiNjYWOzbt++JOjGdTge1Ws1iwTMYjKdGKhbh8y51AQA/7U1Bao6qgnv036BMAv6L\nL75AWloa1q5dC41Gg7Zt26JBgwZYsmSJEG/mcVgkSQaD8SxoVsMDnepXhlrHY8bvlyq6O/8JypzR\nSSaToXv37khISMCMGTPw999/Y8iQIUhISLD6PAs0xmAwnhVTOtSBQirGH3+nY/fFjIruznNPme3g\n9+3bhyFDhsDHxwdffvkl+vbti927d2PAgAFWy6jVagCAXC7/971lMBgvNVVcFJjw0MN16qbzKFDr\nKrhHzzdlyuj0yiuvoE2bNvj7778xZ84cpKWlYcWKFYiMjCw2wxMT8AwG41nyVkQgGvi5ICNfg+93\np1R0d55rypTR6bPPPsO5c+eQlJSEd955p1R6daaDZzAYzxKxiMP0bq9AxAHLjtzE33fzKrpLzy1l\nUtG8+eabCAkJwcGDB7Fy5Ups375diPVeHCwfK4PBeNa84lsJgyICYeAJUzeeh4FnHq7WKJOA/397\ndx8kRXnnAfw7b90z0/M+s7MvvLisKEhOXpaE4BtBTjAUeCkTNGrEUjk00ShWonecp4dceSYeJEZS\nVixisIJ18YUIp16MF0FIaTggsgkuIsu6K2/LvszuvO+87cz0/TF2F0Redpadnt3h+6magl129nmm\n6fn2r5/p5+kDBw5g4sSJmDNnDh5++GHccsstGD9+PJ5++ukzPocfshJRKfxwwSTUOMzYdzyCjf93\nuNzdGZGKCviHHnoIZrMZe/bsQVdXF8LhMJ555hmsXLnyjMsFK0M0rOCJaDjZRCP+/RuFa+Offucg\n2gPxMvdo5Ckq4Nvb27Fw4UJ13Rm9Xo977rkHkydPxubNm0/7nFgsBgCc6EREw27Bl2pw44wxSA3k\n8eiWZi5G9jeKCvjFixdj48aNOHjwoPq99vZ2HDt2DBMmTDjtc6LRKPR6PaxW6/n1lIjoNP5t8RR4\nJAG72oN47cNj5e7OiFL0apK1tbWYMmUKZs+ejfnz5+Pyyy9HfX09li9fftrnBINBuFwu6PVFz6ki\nIjontyTg3xZPAVBYUjgQS5e5RyNHUalbVVWFpqYmvPTSS5g5cyZqamqwbt067N69+4wfoiYSCVbv\nRFRS35hehzmXViGayuLJ3x0od3dGjCEtF1yM22+/HTt37kR7e3spmyGiC9zRvgQW/OyPSA3kseHO\nL2Pe5Opyd6nsSj5uMjAwAJPJVOpmiOgCN95rxQ/nf76MwZb9iCS5jEHJAz6bzcJoLGrZeSKiIbnr\nqsIyBp2RFP51S3O5u1N2rOCJqGIYDXr87NvTYRUM+J+POvHO/q5yd6msigr4/fv3IxgMFtVAJpOB\nIAhFPYeIaKjqfRL+SVlxckvzBX1VTVEBv3TpUowfPx4PPfQQjh49OqjncIiGiLR2xxX1uPJiL/r6\nM3jkt/su2AlQRQX8tm3b8MADD2DDhg1oaGjA0qVL0dx89nGuXC4Hg4E3yCUi7ej1Ovzk5mlwWU3Y\n0RLAq3++MCdAFRXwHo8HP/rRj3Ds2DGsXbsWO3fuxNSpU7Fw4UJs3br1tEdJWZY5yYmINFfrtGD1\n5/dx/Y+3P0FHOFnmHmlvSMnrdDoxY8YM1NfXAwCampowf/58TJkyBWvWrMGxY6ceLc90MxAiolL6\nh2l1uO6yasRSWfzzbz+64IZqig74ffv2Ye7cuZg7dy5OnDiB1157DZ2dndi7dy+uvPJKrFq1Cg0N\nDQgEAupzLrSNSkQjg06nw4+/dTncVhM++LQXb/z1RLm7pKmiAv6JJ57AzJkzceTIEbz44otobm7G\nTTfdBL1ej8bGRvzqV79CMBjE7t274fP51Ocx4ImoXHw2Ef+y8DIAwJO/++SCmgBVVMAnk0msWbMG\nLS0tuPPOO097dYzZbEZjY6M6LGMwGJDL5Yant0REQ7Bk5lh8pd6N3ngaP/1DS7m7o5mi16JJp9P4\n7LPP0N7ejra2Nhw+fBjHjh1DY2MjVq5c+YWfv/766xGJRLBr165h6zQRUbE+6Yxi8c8/QF6WseW+\nqzB9XOXfhKioCv7555+Hw+HAZZddhkWLFuHJJ5/Ee++9h1QqhXHjxp32OYIgIJ2+cCcaENHIcFmt\nA/94zQTIMvD4f++/IO7jWtQMpMceewzXXXcdnnrqKUyePBmiKJ7zORaLBcnkhXd5EhGNPA/OuwRv\n/vUEmjsi+K/dR3DHFfXl7lJJFVXBT5gwASaTCdOmTRtUuAOFm20rN94mIionSTRi1Q2Fm4Oseael\n4pcxKKqCX716NRYtWoRVq1ahrq4OXV1dOH78ODo7O2GxWPDKK698Ydaq1WplBU9EI8b1X6rB3ElV\n2NESwH++cxBrbppW7i6VzKADXpZlPProowCAdevWwW63w+fzobq6Gj6fD2PHjj3tjFWTyYRMJjN8\nPSYiOg86nQ6rbvgS/vTpH7Fp73F8Z/ZFFfuBa1EVfFdXF+666y5s2LBh0M8RBIEBT0QjygSfhGVX\nN+D5P7Zh1Rv7seW+q6DXV96M+0GPwet0Ovz617/Gb37zG6xevXrQk5eUgOdkJyIaSb4/byKqHSL2\nHY/gt03Hy92dkhh0wLe2tmLjxo1obGzEE088gVmzZmHJkiVYvnw5lixZgrfffvu0zxNFEbIsI5vN\nDluniYjOl000qjNc1/xvC+LpysuoQQe8Mr7udDpx6623YurUqZBlGW1tbQCA6urT3+DWbrcDAKLR\n6Pn2lYhoWH1jeh1mjHchEEvj+R1t5e7OsCt6JmuxXnrpJdxxxx1obW3FxIkTS9kUEVHR9h4J4Vu/\n2AnRqMf2h+eizmUpd5eGTckXane73QBQ9K3+iIi0MPMiNxZdXot0No9n3j1U7u4Mq5IHvNPpBABE\nIpFSN0VENCSPXD8JRr0OrzcdR2t3rNzdGTYlD3hJkgCAs1mJaMSq90m4ZdY45GXgx78/WO7uDBtW\n8EREAFb8/aWQBAO2HezBnw9XxpByyQPe6/UCAHp7e0vdFBHRkFXZRSy7pgFAoYqvhLk7mlTwZrMZ\nnZ2dpW6KiOi8LL9mArySgL1HQnj3QHe5u3PeSh7wOp0OtbW16OrqKnVTRETnxW424fvzCpdz//Td\nQ8iP8jXjSx7wQOFSyXA4rEVTRETn5dZZ41HjMONgVwzvfDy6C1NNAt7hcPBDViIaFcwmA+7/vIr/\nyR9akM3ly9yjodMs4GOxyrm2lIgq27e/PA7jPBa0Bfqx+S8d5e7OkGkS8F6vFz09PVo0RUR03gSj\nHj+cPwkA8PP3WkdtFa9JwNfU1KCnp6ciLjsiogvDDdPqMMEn4Vgwibc+OlHu7gyJJgFfXV2NXC6H\nvr4+LZojIjpvBr0O35t7MQBg3bZPkRuFV9RoFvAAEAgEtGiOiGhY3DhjDMZ5LPistx9v7Rt9Vbwm\nAW+z2QAA8Xhci+aIiIaFyaDHA/MuAVAYix9t18VrdhUNwJt+ENHoc+OMMah1mtEW6Mf2ltF1sQgD\nnojoLEwGPe6+agIAYN221lF1sYgmAW+1WgFwyWAiGp2+M3s8fDYB+45HRlUVr2kFz8lORDQaWQUj\n7p1TuKLmue1to6aK1yTglRtvM+CJaLS67avj4bKasPdICO+3jo7lzzUJeIulcBPbRCKhRXNERMNO\nEo24Z05hvfhnth4aFVW8JgGv1+thNps5Bk9Eo9qdV9bDbTXhL0fD2HskVO7unJMmAQ8UPmhNJpNa\nNUdENOysghHf+epFAIDntn9a5t6cm2YBb7PZONGJiEa9u66qh1UwYHtLAPs7RvYy6JoFvCRJDHgi\nGvW8NhG3zRoPAPjFjrYy9+bsNAt4k8mEgYEBrZojIiqZZddMgGDU43fNnSO6itcs4AVBQCaT0ao5\nIqKSqXVasHR2YSz+2W2tZe7NmbGCJyIagu9+7WIIRj22ftKNQ90jc46PZgFvMBiQy+W0ao6IqKSq\n7CJu+co4yDLw7NaRWcVrFvB6vX5UTAwgIhqs7829GIKhMBZ/4MTIW0xRs4DP5/PQ6XRaNUdEVHK1\nTgtu+2rhipqfbT1U5t58kWYBn8vlYDAYtGqOiEgT9829GKJRjz8c6MbHJ0bWFTWaBXw2m4XRaNSq\nOSIiTfgdZnV268+3jazZrZoFfDqdhiiKWjVHRKSZ736tAaJRj3c+7sJHx8Pl7o5Ks4BPpVIwm81a\nNUdEpBm/w4w7r6wHAPz03ZEzFq9ZwCcSCfXOTkREleber10MSTBgR0sAe48Ey90dAAx4IqJh4ZEE\n3H114d6tT719cERcFq5ZwGcyGQiCoFVzRESau2dOAzySgL1HQtj6Sfnv3coPWYmIhondbML3r50I\nAPjx7z9BNpcva380CfhsNouBgQEO0RBRxbt99kW4yGtFW6AfL+85Wta+aBLwyq36JEnSojkiorIR\njHqs/PpkAMAzW1sRTZVvkUVNAj4YLHyi7Ha7tWiOiKisvv53NZhV70GwP4Pn3ivf5CdNA97n82nR\nHBFRWel0Ojy+eAp0OuDFPx1GIJYuSz80WTsgGi2ssuZwOLRojoio7C4f68TDCybhK/UeVNnLc4GJ\nJgEfiRQW4HE6nVo0R0Q0Itz/+RU15aLJEE0oFALAMXgiIi1pEvDxeBwAYLPZtGiOiIigUcAnk0kA\ngMVi0aI5IiKCRgEfiURgMBg40YmISEOaBHwsFoPdbuct+4iINKRZBe9yubRoioiIPqeTNVrTcjTf\nk1WWZUQiEfT19SESiaC/vx+RSAShUAh9fX2IxWJIp9PIZDLIZDIYGBhAIpFAf38/kskkMpkMstks\ncrncKb9Xp9PBYDDAaDRCEASYTCYYjUaYTCaYTCZYrVZ4PB44HA7Y7XY4nU5IkgSXywWn0wmz2Qyz\n2QxJkuB0OmEymcq0hUorm80iHA4jHo+jv78f0WhU3bbJZBKpVArxeByxWAyJREJ9ZDIZpNNppFIp\nDAwMIJvNqo98Po98Pq8u6aqcXSrb/eRtK4oiTCYTbDYbnE4nnE4nHA4HHA6H+ne/3w+n0zlqz1Jj\nsRiCwSD6+/vVRyKRQCwWQywWU7ev8ndlm6ZSKaTTaQwMDCCTyZyyj+t0OnXfFgQBFosFdrtdfZy8\n/VwuF1wul/p3t9tdEftzOp3GiRMnEAqFEAwG0d3dre6/qVRK3VfT6bS6Tyv7ai6XQz6fx9SpU7Fm\nzZohta/JdfArVqzA/v37YbFY4HK54PF41MCyWCyw2Wxwu93qf7bH44HH44EkScN2H9d8Po9kMolY\nLIZoNIpEIoFoNIpoNIp4PI7u7m50d3ejq6sLfX196r+FQiF0dnYilUqd9ffrdDp1R1Z2ZkmSYLFY\nIIoiDAYDDAYDdDoddDodZFlGLpdDOp1GNptVDwzKwmzKQSIcDiOfH9yKdGazGS6XC16vFzabDZIk\nwePxwOfzqW8cv98Pr9cLSZLUN5jyxrJYLMMeUJlMBoFAAMFgUA2Hvr4+9PX1qUERj8cRCoUQjUYR\niUQQi8XUkInH4+jt7R30NgAKH+ZbLBYIggBRFGE2m9WDp/LQ6/XqAygcxJV9pLu7Wz1wJBIJNcwy\nmcxZ2xUEAX6/H1VVVfD7/aitrUV1dTWqq6thtVrhcrng8/ngdrvh8/ngcrlgs9nUPpwvWZaRTqfV\n4kIJaaU46ezsRFdXl/pnV1cXgsGg+n8xGKIowmazwWKxwGg0wmw2qwdAQRDUfRwoFHWpVEotfFKp\nlPr+Uy68OBur1QqbzQa73a5uU6/XC4/HA6vViqqqKvh8PnVfdzqdcLvd6sFiOLarLMvIZDJIJBKI\nx+OIRqMIBAIIhULq18prUoq+zs5OBAIB9PT0IBAInPX3K59NiqKo5sXJ+6rBYEAikRhy/zWp4Fes\nWIEPP/wQqVQKwWAQ4XAYsVjsCxXt6ZhMJoiiCEEQYLVa1epKFEV1A+j1euTzeeRyOfWNODAwoAaE\n8iY9F4PBAL/fD7/frx6AXC4XampqUFtbC5/Pp1bRTqcTHo8HbrcbDocDRqOxJNVbPp9XK6lwOIz+\n/n6Ew2FEIhGkUimkUin1jEKpwoLBoFrt9vX1IRgMIhqNIp0++3Rpg8EASZLUA5TyJlbOKPR6vXqg\nUt48uVwOuVxOPUgpfcpkMojH44MKDiX8lOrYbrfDarVCkiTY7Xb1/0SSJPV7yptBeShBYDabhy0w\n/9bAwACi0SjC4bD6xo5EIohEIuju7kZPTw96enrQ29urhmhPTw8GBs682JROp1MPrkpImkwmdR9X\nAlOv10On06lnHplMBslkUg0epfo719tZr9fD7/ejrq4ONTU18Pl88Hg8qKurg9frVbe7JEmwWq3q\n2aPNZoPNZhu2qjqXy51yQA+Hw+p2DYfDCIVCak7EYjF1uwYCAYTD4XOGnrJdJUlSt6uSI0qAKiMK\nJ+/D6XQa6XQayWRSPWscTEQajUY1L6qrq9VtO2bMGIwZM0Y9sFdXV8PpdKo5ZjKZSnrWp9kQzd+S\nZRmJRALJZFKt4CKRCKLRKHp7exEKhdQKRBn+UE5nlNNC5TRGlmV1uOPkN4myUyrVtNVqVU8PlQrW\n4XDAZrOhqqoKXq931J5iD0YikUBPT4+6bZVwOjmw4vG4Gh5K5ao8lIOoss0BqKGvnIorQxuCIMBm\ns8Hj8aiVlhIUbrcbVVVVkCSppIE8EuTzefWUXDlNV85gTt7+yqm5Upwo+7iyrZWHEvaiKJ5ycFP2\nb2VfV75W9nOv16seKCthe+fzefT29qpnHycPm4bDYbWQ7O/vV/dfpfBQzpSVs8KT92FRFCGKolp0\n2Gw2mM1mNTuUbenxeGCz2dQDYCnOfodD2QKeiIhKa/QfyomI6LQY8HTB2LJlC7Zu3VrubhBphkM0\nVHF27tyJzZs3Y+3atad8f9y4cRBFEZ9+Wr4bMBBpiRU8VZx9+/bh2Wef/cL3Dxw4gObm5jL0iKg8\nGPBUMTo6OrB+/Xo0Nzcjn89jw4YN+OUvf6neEzgcDqvzKvbs2YMf/OAHAAoV/5tvvglZltHe3o5N\nmzahu7v7C7//0KFD2Lx5M3bt2lXUdflEZSMTVYjXX39dFgRBBiADkA0GgyxJktzU1CTLsiz7fD55\n48aNsizL8mOPPSZPmTJFXrt2rfrzN9xwg2wwGGQA8pgxY+RoNCrLsizn83n5wQcflPV6vex2u2UA\n8tVXXy1ns9myvVaiwWAFTxXjm9/8JlKpFF5++WUAhTWQ4vE4ZsyYAVmWEQ6H1Z81Go3o6OjA448/\njk2bNqGxsRHbt2/Hc889h507d6KjowO7du0CALz11ltYv3493n//fQSDQbzxxhv44IMPcPjw4XK8\nTKJBY8BTRdHpdOrCdifPIE0mk8hms+ptIz0eDyKRCF544QUsWbIEfr8fS5cuxb333osrrrgCNTU1\n6oex69evx3333Qe/349ly5bhxhtvxLJly9DQ0KD9CyQqAgOeKo7ZbAaAU9Y7Uaa2KzedyefzqKqq\nwm233QagcL/gk5dVqK+vR3t7O4DC2Pu2bdswadIkHD9+HDt27MALL7wwImcuEp1Mk8XGiLSkhPjJ\n6w8p644oH44Gg0F4vV713/1+Pz7++GP167Fjx6KtrQ1AYSq73W7Hnj17MHPmTACF9Uva29txySWX\nlPbFEJ0HVvBUcZS1Vk5eXE1ZJEsZtkkmkxBFUf336upqdHR0qF/X1dXh6NGjAIClS5eipaUFBw4c\nQEtLC7Zv344lS5bg5ptvLvlrITofDHiqOLIsq0v3KqxWK6699lrU19cDAKZPn45YLKb+u8vlOmVp\n14aGBjXwH3nkEdx99924//77MXnyZCxYsADZbBavvPKKNi+IaIg4k5UqjizLaG1txaWXXnrGn8nn\n84hEInC73QAKk6BeffVVrF69GkDhmvmmpibMmzfvlN/b19cHh8MBQRBK+yKIhgEDnoioQnGIhoio\nQjHgiYgqFAOeiKhCMeCJiCoUA56IqEIx4ImIKhQDnoioQjHgiYgqFAOeiKhC/T/2fZzF0D70EgAA\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddcb2da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xkcd()\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "ax.set_ylim([-30, 10])\n",
    "\n",
    "data = np.ones(100)\n",
    "data[70:] -= np.arange(30)\n",
    "\n",
    "plt.annotate(\n",
    "    'THE DAY I REALIZED\\nI COULD COOK BACON\\nWHENEVER I WANTED',\n",
    "    xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))\n",
    "\n",
    "plt.plot(data)\n",
    "\n",
    "plt.xlabel('time')\n",
    "plt.ylabel('my overall health')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Pie Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JkzBp0iS1P7ZEIsG+ffvQr18/tT82iScnLwe3Y27jRtQNhMSHKAvE44THSMlOETueVpNA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\nRMSl/h9hct9NF7Vg9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddda52b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Remove XKCD mode:\n",
    "plt.rcdefaults()\n",
    "\n",
    "values = [12, 55, 4, 32, 14]\n",
    "colors = ['r', 'g', 'b', 'c', 'm']\n",
    "explode = [0, 0, 0.2, 0, 0]\n",
    "labels = ['India', 'United States', 'Russia', 'China', 'Europe']\n",
    "plt.pie(values, colors= colors, labels=labels, explode = explode)\n",
    "plt.title('Student Locations')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Vyv/cp1AoxFNPPRVPPfXUWQ8FAFwcfNYMAJBGiAAAaYQIAJBGiAAAaYQIAJBGiAAAaYQI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\n0ggRACDN/wPM0lYq9UjIEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddd81048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "values = [12, 55, 4, 32, 14]\n",
    "colors = ['r', 'g', 'b', 'c', 'm']\n",
    "plt.bar(range(0,5), values, color= colors)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OB4hn7qjtU02Q6KG3MhYRiC3tnfjSQ5sSFgxqgumpLfVCCwuzLrzGYAferG/F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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddcc5470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pylab import randn\n",
    "\n",
    "X = randn(500)\n",
    "Y = randn(500)\n",
    "plt.scatter(X,Y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xYoSz3xijNWvWaNmyZZo1a5YmTZqk5557Tq2trdqyZYskKRAIaMOGDfrnf/5nTZ8+Xfn5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\nIBQXjdq9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddc31d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "incomes = np.random.normal(27000, 15000, 10000)\n",
    "plt.hist(incomes, 50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Box & Whisker Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Useful for visualizing the spread & skew of data.\n",
    "\n",
    "The red line represents the median of the data, and the box represents the bounds of the 1st and 3rd quartiles.\n",
    "\n",
    "So, half of the data exists within the box.\n",
    "\n",
    "The dotted-line \"whiskers\" indicate the range of the data - except for outliers, which are plotted outside the whiskers. Outliers are 1.5X or more the interquartile range.\n",
    "\n",
    "This example below creates uniformly distributed random numbers between -40 and 60, plus a few outliers above 100 and below -100:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cIEH/OTfDhw9XZGSkWlpa/J5vaWmRy+Xq8zV2u112u/1CjAcAAIJM0N+5iY6OVm5urnbs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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x28fddc9c6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uniformSkewed = np.random.rand(100) * 100 - 40\n",
    "high_outliers = np.random.rand(10) * 50 + 100\n",
    "low_outliers = np.random.rand(10) * -50 - 100\n",
    "data = np.concatenate((uniformSkewed, high_outliers, low_outliers))\n",
    "plt.boxplot(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Activity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
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    "Try creating a scatter plot representing random data on age vs. time spent watching TV. Label the axes."
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   "source": []
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